| 2025 | FC | Leveraging Homomorphic Encryption for Maximal Extractable Value (MEV) Mitigation: Blind Arbitrage on Decentralised Exchanges. | Jonathan Passerat-Palmbach |
| 2025 | MICCAI | FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. | Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni |
| 2020 | CCS | A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. | Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2015 | MICCAI | A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation. | Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert |
| 2013 | PADS | Parallel stepwise stochastic simulation: harnessing GPUs to explore possible futures states of a chromosome folding model thanks to the possible futures algorithm (PFA). | Jonathan Passerat-Palmbach, Jonathan Caux, Yannick Le Pennec, Romain Reuillon, Ivan Junier, Franois Kps, David R. C. Hill |
| 2011 | PADS | Pseudo-Random Number Generation on GP-GPU. | Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill |